Results 61 to 70 of about 27,025 (207)
3-D Hand Pose Estimation from Kinect's Point Cloud Using Appearance Matching
, 2016 We present a novel appearance-based approach for pose estimation of a human hand using the point clouds provided by the low-cost Microsoft Kinect sensor.
Castaldo, Francesco +3 more
core +1 more source
Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
Business Strategy and the Environment, EarlyView.ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh +3 more
wiley +1 more source
AlgorithmsThe density-based spatial clustering of applications with noise (DBSCAN) is able to cluster arbitrarily structured datasets. However, the clustering result of this algorithm is exceptionally sensitive to the neighborhood radius (Eps) and noise points ...
Zicheng Huang +3 more
doaj +1 more source
A Visualization Method of Residents' Location for Media Spots Estimation
SICE Journal of Control, Measurement, and System Integration, 2018 In this research, we aim to visualize activities in a local community for achieving resident-centered community design utilizing information and communication technology (ICT).
Koya Kimura +4 more
doaj +1 more source
Hunting for open clusters in \textit{Gaia} DR2: the Galactic anticentre
, 2019 The Gaia Data Release 2 (DR2) provided an unprecedented volume of precise astrometric and excellent photometric data. In terms of data mining the Gaia catalogue, machine learning methods have shown to be a powerful tool, for instance in the search for ...
Balaguer-Núñez, L. +4 more
core +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Identifying urban land use social functional units: a case study using OSM data
International Journal of Digital Earth, 2021 Urban land use is always the central focus of urban planners and policymakers when pursuing urban sustainable development. Currently, many studies have explored urban land use using satellite data, but few of them can identify the social function of land
Zhen Liu
doaj +1 more source
, 2018 Density-based spatial clustering of applications with noise (DBSCAN) is a data clustering algorithm which has the high-performance rate for dataset where clusters have the constant density of data points.
Arif, Rezoana Bente +3 more
core +1 more source
Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis
Flavour and Fragrance Journal, EarlyView.The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin +3 more
wiley +1 more source
K2P$^2$ $-$ A photometry pipeline for the K2 mission
, 2015 With the loss of a second reaction wheel, resulting in the inability to point continuously and stably at the same field of view, the NASA Kepler satellite recently entered a new mode of observation known as the K2 mission.
Chaplin, William J. +4 more
core +1 more source